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东南大学电气工程学院,江苏省南京市 210096
Received:24 March 2023,
Revised:2023-07-10,
Published Online:28 September 2023,
Published:10 November 2023
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陈中,顾叮咚,郭庆.考虑全局相关性的主动配电网电压安全优化控制[J].电力系统自动化,2023,47(21):99-107.
CHEN Zhong,GU Dingdong,GUO Qing.Optimization and Control of Voltage Security in Active Distribution Network Considering Global Correlation[J].Automation of Electric Power Systems,2023,47(21):99-107.
陈中,顾叮咚,郭庆.考虑全局相关性的主动配电网电压安全优化控制[J].电力系统自动化,2023,47(21):99-107. DOI: 10.7500/AEPS20230324009.
CHEN Zhong,GU Dingdong,GUO Qing.Optimization and Control of Voltage Security in Active Distribution Network Considering Global Correlation[J].Automation of Electric Power Systems,2023,47(21):99-107. DOI: 10.7500/AEPS20230324009.
新型电力系统下,配电网侧规模化分布式新能源的不确定性使得电压安全问题日益突出,现有方法主要假设随机变量为独立分布,较少考虑随机分布间的相关性,而配电网侧随机量的相关性较强,降低了电压控制效果。文中提出了一种考虑全局灵敏度的主动配电网电压稳定优化控制策略。首先,采用
L
指标衡量系统的电压稳定程度,构建了考虑多场景电力系统稳定性的概率潮流模型。其次,基于Sobol’法的全局灵敏度定量分析了输入变量的不确定性及变量间的相关性对电压稳定的影响。然后,基于灵敏度分析结果,优化求解系统中的调控设备。最后,在修改后的IEEE 33节点系统、IEEE 118节点系统及实际系统中进行仿真。结果表明,基于全局灵敏度提出的多随机性场景优化控制策略能在考虑多变量相关性的同时,实现调控设备在不同运行场景下的高效利用,支撑有源配电网安全运行。
In the new power system
the uncertainty of large-scale distributed renewable energy on the distribution network side makes the security problems of voltage increasingly prominent. The existing methods mainly assume that the random variables follow independent distribution
and seldom consider the correlation between random distributions. However
the correlation of random variables on the distribution network side is strong
which reduces the voltage control effect. An optimization and control strategy of voltage stability in active distribution network considering global sensitivity is proposed. Firstly
L
index is used to measure the voltage stability of the system
and a probabilistic power flow model considering the stability of power systems in multi-scenarios is constructed. Secondly
based on the global sensitivity of Sobol’ method
the influence of uncertainty of input variables and correlation between variables on voltage stability is quantitatively analyzed. Then
based on the results of sensitivity analysis
the control equipment in the solution system is optimized. Finally
the simulation is carried out in the modified IEEE 33-bus system
IEEE 118-bus system and actual system. The results show that the optimization and control strategy in multi-stochastic scenarios based on global sensitivity can realize the efficient utilization of the control equipment in different operation scenarios and support the safe operation of the active distribution network while considering the multi-variable correlation.
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